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Glama

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Alternatives to btwb-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables LLMs to read and write Hevy workout tracking data, including workouts, routines, exercise templates, per-exercise history, and body measurements through all 15 Hevy public API endpoints.
      10
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Connects AI agents to Iridium fitness data to query workout history, nutrition logs, and body measurements. It enables users to track exercise progress, training volume, and personalized trainer analysis through natural language.
      19
      31
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to interact with the Hevy fitness tracking API, allowing users to log workouts, manage routines, browse exercises, and track fitness progress through natural language.
      10
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Connects AI assistants directly to Hevy workout data, enabling analysis of training volume, strength progression tracking, and web searches for fitness research.
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Connects to a Gym Tracker Supabase database to provide LLMs with access to personal workout history, routines, and training progress. It enables users to analyze fitness performance, track personal records, and receive personalized coaching advice through natural language.
      -

    TDQS

    A4.2/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: search_movement (library lookup) vs get_movement_history (per-set history), log_workout (single movement) vs log_rounds_workout (multi-movement rounds), get_workout_session (read) vs delete_workout_session (remove), plus a standalone auth utility. Descriptions proactively clarify overlaps, e.g. log_rounds_workout explicitly contrasts itself with log_workout.

    Naming Consistency5/5

    All seven tools use consistent snake_case verb_noun phrasing (search_movement, log_workout, get_workout_session, delete_workout_session, refresh_session_cookie). No style mixing or vague verb-only names.

    Tool Count5/5

    Seven tools is well-scoped for a workout-logging and movement-data integration; each tool earns its place with a clear role and no redundant entries.

    Completeness3/5

    The surface covers search, log (two variants), read, and delete, but has no update/edit for an already-logged result, and get_workout_session requires a known session ID with no search-by-date or list-sessions tool. Discovery of existing sessions/workouts is thus a notable gap.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues